Joint Plots

A joint plot allows us to see the relationship between two variables and the distribution of the variables together. It combines bivariate and univariate graphs in a single plot.

To get started, we import the required libraries and storing the mpg dataset in the DataFrame mpg_df (after removing the null values). Let’s draw a joint plot for the horsepower and mpg variables using the sns.jointplot() function. A joint plot plots a relational plot as the main plot and a distribution plot along the axis.

We can observe from the plot above that as the horsepower increases, we see a decrease in mpg. This results in a negative correlation between mpg and horsepower. Similarly, on the x-axis, we see the horsepower marginal distribution represented in histograms. We see that most cars have a horsepower between 50–100. Similarly, on the y-axis, we see that most cars have an mpg ...